GeoWeave-8B achieves the highest open-source final-answer accuracy and process average on GeoVAD-Bench, gaining 25.3 and 30.4 percentage points over its base model¶
Claim · All claims
Evidence · 1 study (2 entries) · designr2·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2029: tool and model accuracy changes quickly
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? GeoWeave-8B reaches 62.6% answer accuracy and 82.9% process average, improving over SenseNova-U1-8B by 25.3 and 30.4 percentage points, with coordinated gains across all four process metrics. → Zhitong Dong 2026
q2 i? GeoWeave-8B outperforms MathCanvas-7B on all four conventional mathematical reasoning benchmarks and achieves higher Math-VR PS and AC than both compared methods. → Zhitong Dong 2026 (2)
Evidence¶
Zhitong Dong 2026¶
Zhitong Dong, Jicai Pan, Yingguo Gao, Jingting Ding, Hao Chen, Jinjie Gu. (2026). Beyond Generation and Accuracy: Diagnosing and Enhancing Visual Chain-of-Thought for Geometry Problem Solving. arXiv preprint. https://arxiv.org/abs/2609.12606 doi:10.48550/arxiv.2609.12606
q2 · i? · design · r2
Main comparison on GeoVAD-Bench under Auto-Aux (Table 7, Section 6.2). The article reports GeoWeave-8B "achieves the highest final-answer accuracy, reaching 62.6%" and 82.9% process average, with per-dimension gains of 5.8, 51.0, 22.0, and 43.0 percentage points.
"Among the open-source models, GeoWeave-8B achieves the highest final-answer accuracy, reaching 62.6%. It improves over the SenseNova-U1-8B baseline by 25.3 percentage points and surpasses every other open-source model listed in Table 7."
Zhitong Dong 2026 (2)¶
Zhitong Dong, Jicai Pan, Yingguo Gao, Jingting Ding, Hao Chen, Jinjie Gu. (2026). Beyond Generation and Accuracy: Diagnosing and Enhancing Visual Chain-of-Thought for Geometry Problem Solving. arXiv preprint. https://arxiv.org/abs/2609.12606
q2 · i? · design · r2
Generalization evaluation on public benchmarks (Table 8, Section 6.3). The article reports GeoWeave-8B "outperforms MathCanvas-7B on all four conventional mathematical reasoning benchmarks" and higher Math-VR PS (64.7) and AC (41.4) than both compared methods.
"GeoWeave-8B outperforms MathCanvas-7B on all four conventional mathematical reasoning benchmarks. On Math-VR, GeoWeave-8B also achieves higher PS and AC than both MathCanvas-7B and CodePlot-CoT-32B."
Discussion¶
Related Claims¶
- Reasoning with ground-truth auxiliary diagrams consistently outperforms reasoning from the original diagram alone on GeoVAD-Bench — related
- Step-level credit assignment added to Interleave-RL raises the reasoning score from 46.3% to 66.3% on GeoVAD-Bench — related
- Correct final answers are associated with stronger performance on all four process-level metrics, with reasoning-process correctness showing the clearest separation — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
geoweave-8b-gains-over-basemodel |
title |
GeoWeave-8B achieves the highest open-source final-answer accuracy and process average on GeoVAD-Bench, gaining 25.3 and 30.4 percentage points over its base model |
description |
GeoWeave-8B achieves the highest open-source final-answer accuracy and process average on GeoVAD-Bench, gaining 25.3 and 30.4 percentage points over its base model |
status |
review |
evidence_strength |
moderate |
newest_evidence |
2026 |
recheck_by |
2029 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
2 — zhitong-dong-2026, zhitong-dong-2026-2 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.